光栅投影三维测量中一种新的线条纹细化算法

针对光栅投影三维测量中的线条纹,提出了一种新的条纹细化方法。实验证明,该算法获得了理想的处理效果。     

具有可扩展授权恢复机制的新型图像水印系统

建立了一个具有可扩展授权恢复机制的图像水印系统模型,先把图像小块划分后再使用DCT变换与量化编码,将得到的水印信息进行移块重组为二值水印图像,然后利用混沌映射算法使二值图像分散开来,极大地扩展了水印空间.另外,分析了传统水印算法安全问题,使用了改进的共享与授权协议来规范混沌参数的使用规则,提高了系统的安全性.     

A buffer insertion and simultaneous sizing timing optimization algorithm

A path-based timing optimization algorithm for buffer insertion and simultaneous sizing is proposed. Firstly, candidate buffer insertion location and buffer size for each branch in a given routing path were obtained via localized timing optimization. Then, through evaluating each potential insertion against design objectives, potential optimal buffer insertion locations and sizes for the whole routing tree were determined. At last, by removing redundant buffer insertion operations which do not maximize S （ so ）, given timing requirements are finally fulfilled through minimum number of buffers.     

一种基于视频图像的挖掘机工作状态识别方法

为了实现违法用地现象的实时监测,对土地间的挖掘机等施工机械的工作状态识别是非常重要的.实际场景下,因随机噪声和光照变化的影响,给挖掘机工作状态识别带来极大的挑战.本文提出一种基于视频图像的挖掘机工作状态识别方法,首先,对同一品牌挖掘机工作装置的各种姿态建立混合local binary features (LBF)形状回归模型并进行离线训练;其次,利用上述模型预测输入视频帧中挖掘机工作装置的形状信息,构建挖掘机的工作状态特征描述子;最后,利用support vector machine (SVM)分类器自动判别挖掘机的工作状态—-工作状态或非工作状态.实验结果表明,该方法很好地克服了多姿态导致形状变化的影响,对挖掘机工作状态识别准确率达到了93.53%.     

Periodic performance of the chaotic spreadspectrum sequence on finite precision

It is well known that the periodic performance of spread spectrum sequence heavily affects the correlative and secure characteristics of communication systems. The chaotic binary sequence is paid more and more attention since it is one kind of applicable spread spectrum sequences. However, there are unavoidable short cyclic problems for chaotic binary sequences in finite precision. The chaotic binary sequence generating methods are studied first. Then the short cyclic behavior of the chaotic sequences is analyzed in detail, which are generated by quantification approaches with finite word-length. At the same time, a chaotic similar function is defined for presenting the cyclic characteristics of the sequences. Based on these efforts, an improved method with scrambling control for generating chaotic binary sequences is proposed. To quantitatively describe the improvement of periodic performance of the sequences, an orthogonal estimator is also defined. Some simulating results are provided. From the theoretical deduction and the experimental results, it is concluded that the proposed method can effectively increase the period and raise the complexity of the chaotic sequences to some extent.     

稳健二进前向网络的遗传训练方法

稳健二进前向网络是对逻辑知识的隐式表示和显式表示的有机统一,是性能优良的逻辑知识库、推理机和解释器,但目前还没有一种网络训练算法能够训练出稳健二进前向网络,针对这种情况,本文首先对稳健二进前向网络的神经元辅阈值范围进行了改进和有效描述,并在此基础上提出了一种对稳健二进前向网络进行有效训练的遗传训练方法。在这种训练方法中,网络参数采用三值编码方案,并运用相应的变异机制和有效的适应度函数,经这种方法训练出的网络具有结构最优、稳健性能最强和最易实现的特点。文章最后给出了实验的结果。     

完全二叉树相邻结点最近共同祖先的一种快速算法

寻找二叉树中两结点的最近共同祖先问题一直是图论与计算机科学关注的问题.首先,证明了完全求解二叉树相邻结点最近共同祖先的一个定理,该定理的求解方法主要涉及到位运算,无需递归搜索,既易于软件编程实现又易于通过硬件实现,然后给出了一个具有对数时间复杂度O（lnn）的快速算法及C＋＋示例.     

A NAM Representation Method for Data Compression of Binary Images

A representation method using the non-symmetry and anti-packing model (NAM) for data compression of binary images is presented.The NAM representation algorithm is compared with the popular linear quadtree and run length encoding algorithms.Theoretical and experimental results show that the algorithm has a higher compression ratio for both lossy and lossless cases of binary images and better reconstructed quality for the lossy case.     

二元序列的广义导数

给出了序列周期的另一类定义,研究了周期二元序列的广义导数序列的周期性,得到了周期二元序列的广义导数序列的一些性质,并进一步探讨了周期分别为2N和2N-1的二元序列的广义导数。     

两类差集偶的直接构造

给出两类差集偶的直接构造,证明了(4t,2t-2,2t,t-1,t-1)-差集偶和(4t,2t,2t,t,t)-差集偶的存在性。